{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"http://pandas.pydata.org/_static/pandas_logo.png\" style=\"width:400px;height:80px;\">\n",
    "# <font color='red'>Pandas Tutorial On Stock Price Analysis</font> "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*This tutorial will cover how to retrieve stock price from google finance using pandas data reader. The analysis of stock is done by plotting its high, low, close, volumne values in table and a chart. Charts are of two types,*\n",
    "\n",
    "1. Line Chart\n",
    "2. Bar Chart\n",
    "\n",
    "If you don't know what is stock then first **watch this video to gain understanding on fundamentals of stocks and investing**,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/XRO6lEu9-5w\" frameborder=\"0\" allowfullscreen></iframe>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%HTML\n",
    "<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/XRO6lEu9-5w\" frameborder=\"0\" allowfullscreen></iframe>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-04</th>\n",
       "      <td>102.61</td>\n",
       "      <td>105.37</td>\n",
       "      <td>102.00</td>\n",
       "      <td>105.35</td>\n",
       "      <td>67281190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-05</th>\n",
       "      <td>105.75</td>\n",
       "      <td>105.85</td>\n",
       "      <td>102.41</td>\n",
       "      <td>102.71</td>\n",
       "      <td>55790992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>100.56</td>\n",
       "      <td>102.37</td>\n",
       "      <td>99.87</td>\n",
       "      <td>100.70</td>\n",
       "      <td>68457388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-07</th>\n",
       "      <td>98.68</td>\n",
       "      <td>100.13</td>\n",
       "      <td>96.43</td>\n",
       "      <td>96.45</td>\n",
       "      <td>81094428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-08</th>\n",
       "      <td>98.55</td>\n",
       "      <td>99.11</td>\n",
       "      <td>96.76</td>\n",
       "      <td>96.96</td>\n",
       "      <td>70798016</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Open    High     Low   Close    Volume\n",
       "Date                                                \n",
       "2016-01-04  102.61  105.37  102.00  105.35  67281190\n",
       "2016-01-05  105.75  105.85  102.41  102.71  55790992\n",
       "2016-01-06  100.56  102.37   99.87  100.70  68457388\n",
       "2016-01-07   98.68  100.13   96.43   96.45  81094428\n",
       "2016-01-08   98.55   99.11   96.76   96.96  70798016"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas.io.data as web\n",
    "df = web.DataReader('AAPL', 'google', '2016/1/1', '2017/1/1')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x23615bc0128>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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L2i3VRARF0D+iP0fKO84UnKw+iUkzSflAiOYaTY0s37ccgPyafG7//Hb++N8/\ntnu9NSgAiAmJkaBAiCZ6Y9/sKbBKCEugVG8/KNh0YhN1hjquWnEV9cb6Lt13fd56RsSPoH9kf4c/\nMyJ+RKeZAut0RGk0FKKZb45+Y4vu86vzOVJ+hCJdUbvXF9dJUCCEPXpj3y0fQPuZArNmZnv+dn41\n7FccLD3IvuJ9Xbrvutx1tn4CRw2PG95ppiCn0hIUeOoSxyBBgXCDt3e/zfjk8cSFxnGi+gQnqk60\nWEa0teaZgujgaOkpEKJJXy8f9AvrZzcoOFh6kJrGGi5NvxSA2sZah+9ZXFtMVmmWrZ/AUdZMQUdL\nIOdW5pISmUJIQEiX7t2bJCgQvapcX86qw6u4OfNmBkQOYEfhDgxmQ4e/6KV8IIR9fbnRENrPFGzL\n34ZCMXPwTABqDY4HBT/k/QCc7idw1Ij4EegadR32R+VU5nh0kyF0IyhQSs1QSn2ulMpXSpmVUpe2\nOn+FUupbpVRp0/lMO/cIVkq93HRNjVLqI6VUYk++EeEdVuxfgdFsZP7Y+QyIGsCPJ34EOl6lUIIC\nIeyTngL7QcHWk1sZ1W8U/SMsPQG6Rp3D91yXu45hccMYEDWgS2OxzkDoqISQW5nr0U2G0L1MQTjw\nM/BbwF6eJBzYANzfznmAF4A5wFXAuUAK8HE3xiK8zDt73uHCoReSHJHMgMgBtjUI2isfNBgbqKyv\nlKBACDv0hr65ToFVQlgCukZdm0bCzSc3M2XAFNtSwl0pHzRfn6ArrBmA7Irsdq/JqfDBTIGmad9o\nmvaopmmfAW3W1tQ07V1N054E1tg7r5SKAm4DFmmatl7TtF3ArcDZSqkpXf4OhNc4Wn6UH0/8yM3j\nbgawbYUMljceg8nQ5jPWVJw14o8OjqamoaZLG5AI4av6ek9BQlgCAGV1ZbZjJbUl7C7azS8G/4IA\nvwCC/YMdzhSU1pWyr3hfl/sJwLJ9dUpkSrtBQYOxgYKaAp/MFPTUJCAAS9AAgKZph4DjwHQ3jEf0\nknd2v0NUcBSXpV8G0CY9Zy9bUKgrBLBNDYoJiUFD67AxUYi+QsoHlqCgeQlhbe5awLLgEEB4ULjD\nPQXd7SewSotNazcoOF51HA3No6cjgnuCgmSgUdO01j/Vi5rOCR9k1sy8vedtrh51ta0xypopCA+0\npPjsNRsW1jQFBRGngwKQ/Q+EAGk0tAYFJXWnt1Bek72GkQkjbS8dEUERnZYP9hTtoaS2hH/v+Ddp\nsWmcEX0nT99RAAAgAElEQVRGt8YzNHZou0GBdTqip5cPAtw9gK5YtGgR0dHRLY7Nnz+f+fPnu2lE\nwlH7i/eTW5nL/LGn/66s/9NmJGawNX+r3WbDQl0hAX4BxIfFAxAdYvn7l+2Thei7ex9Y2csUrM5Z\nzcXDLrZ9HR4Y3mH54GDpQcb9a5zt2uVXLe/2eNJi0/j66NfkVORQVFvEtIHTbOdyKnLwU34MjBrY\n7fs7Yvny5Sxf3vJ7qKpy/OelO4KCU0CQUiqqVbYgqelcuxYvXszEiRNdOjjhGtaO3Myk05NRrJmC\nzKRMtuZvtV8+qCkkOSIZP2VJalkzBWX6sjbXCtHXWLdO7qsigiII8g+ipNaSKcipyCG7Ipvz085v\ncU1H5QNrs/Pj5z3OtWOuZVS/Ud0eT1psGsW1xdz++e38VPAT2b/PtgUuh8oOMTR2KIH+gd2+vyPs\nvSjv3LmTSZMmOfR5V5cP7M0+2AEYAdvfmlIqHUgFNrt4PMJNjpUfIyIogn5h/WzHEsISuGXcLVw7\n5lqgnfKBrtBWOgAYFD0If+Xf6XKiQvg6o9mI0Wzs0z0FSikGRg3kRPUJANbkrMFP+dnWJwBLT0FH\nmYKahhoAFk5a2KOAACxBAVj6Gmoaa3hm4zO2cwdKDjC63+ge3b83dGedgnCl1Dil1PimQ2lNX5/R\ndD5WKTUOGINl9sHIpvNJAE3ZgdeA55VSM5VSk4DXgU2apm1zxjclPEdpXSmV9ZUcLT/KsLhhKHV6\nQopSijcvf5OzzzgbaL/RsPn648EBwaQnpHd52VIhfI3eoAfo0+UDgGFxwzhafhSwBAWTUybbMopg\nKQl0lCmwBgz2tkTuqqGxQwFQKBZMWMBL218ivzof8OGgAJgM7MLyxq8B/wB2An9uOn9p0/lVTeeX\nN52/s9k9FgFfAB8B64ACLGsWCB9zy6e3sHDVQo5VHLP9D9NaSEAIgX6B9nsKagpJDm/Zfzo2cSx7\ni/e6ZLxC2PPh/g85Utbxuva9TW9sCgr6cPkAYFjsMI5VHMOsmVmTvYYLhlzQ4nxnjYbWoMAZGZfE\n8ETCAsM4J/Ucnpv9HGGBYTz5w5NUN1RzovqEbwYFTWsL+Gma5t/qn9uazr/Vzvknmt2jQdO0ezRN\nS9A0LVLTtGs0TSt25jcmPMPxquN8n/M9R8uPthsUKKWICo6yWz44pTvVZqeyjMQM9hbt7XCNcSGc\nJa8yj2s/upYJ/57Aiv0rbMf3F+9vMT++t9UZ6gDJFAyNG8rR8qPsLdpLSV1Ji34C6LzRUNeoIyww\nDH8//x6PRSnFvVPu5U/n/InokGgePOdB/rPrP3x5+EsA3wwKhOiKcn05Zfoy8qryGBY3rN3rokOi\n25QPTGYTRbVFLXoKwJIpqKivoKCmwCVjFqK5Tw5+QpB/EBcPv5gbVt7A6uzVVOgrOOv1s5j38Ty3\njctaPujLPQVgKR/UGep4d8+7hASEcNYZZ7U431mjYU1jDZFBkU4bz9MXPM3Fwy2zH+4+824SwxO5\n5+t7UChGJox02nNcRYIC4TKaprV4kxoaZz9TAFgyBa3KByV1JZg1c5tMwdiksQDSVyB6xcqslfwy\n7Zcsu2oZF6RdwJUfXMldX95FdUM1q7NXs+XkFreMS8oHFtYM5Ju73+Sc1HPa7EDYWaOhrlHnlH4C\ne0IDQ/nfc/+XMn0Zg2MGe0UAJ0GBcJk6Qx0Npgbb1+2VD8CyfHF1Y8tMQeuFi6wGxwwmPDBc+gqE\nyxXpith4fCNXjLyCAL8AVly9gsykTFbsX8Hvp/6eUQmjePKHJ90yNikfWFg7/kvrStv0E0BTo2En\nPQWuCgoAbptwG2mxabaXGU/nVYsXCe9iXUtgXNI4DpYe7HDRjuiQ6BaZggZjA89segZ/5c+gmEEt\nrvVTfoxJHCNBgXC5zw99jlKKS9Mtm8FGBkfy1Q1f8cKWF7j7zLuZnDKZmz65iZ2FO5nYv3fXULHN\nPujjmYLQwFAGRg3kZPXJNv0EYCkfuCtTABDkH8T3N39PgJ93/LqVTIFwmXJ9OQBPn/80q+av6rCR\nJyo4ytZTUK4vZ/a7s/n04Kcsv2q5bYfE5sYmjpXygXCasroyKvQVbY5/cvATZqTOoF/46fU1ooKj\nePS8R4kPi2dexjyGxg61ZQu+PPwlqw6t6pUxW8sH3pCSdrWhsUOJDYllQvKENufCg8LRG/XtbqJW\n01hDZLDzegrsGRQzqMtbMbuLd4QuwitZ+wnSE9JtKb72RAdHU9VQRXZFNhe/dzGldaV8f8v3bZqG\nrDISM3hv73uYzCandA2Lvu2qFVeREJbAR9d+ZDtWVV/F6uzVPDf7uXY/F+AXwEMzHuL2z29nV+Eu\n7lh1BymRKcxNn+vyMcs6BaddO+ZafjH4F3Z/FlizAHWGOrsZAV2jjqjgKJeP0VtIUCBcxlo+iA+N\n7/TaqOAo8irzmP7adKKCo9iyYEuHsxXGJo6l3ljP0fKjpCekO23Mou8p0hXxQ94Pbba0/erIVxjM\nBi4feXmHn78p8yaeWP8EV3xwBYW6QqoaqjBrZtvS3K5i6yno4+UDgN+e+dt2z1k3XGuvTKBr1JES\nmeKysXkbKR8IlymrK8Nf+TsUhVszBcPihrH59s0dBgQgMxCE86w6vAoNjZzKnBa155UHVzI5ZTKp\n0akdfj7QP5A/nfMn8qryCAsMo85QR25lrotHbSkfBPoFek2t2l2sgUB7zYY1DTVEBLqup8DbSFAg\nXKZcX05caFyLpY3bc82Ya/jzzD+z+qbVtg1EOpIYnkhieKI0G4oe++TgJ7Y9ObJKsgBLav7rI19z\nxcgrHLrHreNvZfrA6TxzgWWt+/3F+10z2Gb6+rbJjgoPsmQKlu1dxuu7Xm9zXteoc3lPgTeRoEC4\nTJm+zLblcWfSYtN49LxHu/RDLiMxQ4IC0SPFtcWszl7NommLUChb5um77O+oNdRy5agrHbpPcEAw\nP97+I3efeTdRwVHsL+l5UPDdse8Y8PwADCaD3fN9fdtkR1nLB09vfJpnNz3b5ryrZx94GwkKhMuU\n6csc6iforrGJY9lbJEGB6L4lW5cQ5B/EXZPvIi02zRYUfHLwE0YmjOzyCnRKKUb3G+2UoOCbo99Q\nUFNgd6MwkG2THWX9ha836jlWcaxNkCVBQUsSFAiXKatzPFPQHWMTx3K0/KitC1uIrqhpqOHl7S+z\ncOJCYkNjGZM4hv0l+zmlO8WH+z/k2tHXduu+Y/qNcUr5YFuBZdPY9ubY6w16mY7oAGv5ACzbTedU\n5rT4Wm/US1DQjAQFwmXK9eUuzRRkJGagoXGg5IDLniF819KdS6ltrGXR9EWA5Zf5jsId/O6r3xEc\nEMx90+7r1n0zEjPIKs2i0dTY7bEZzUZ2FOwALPPo7ZHygWNa/8I/VHrI9u/W5kNn7n3g7SQoEC5T\npi8jLjTOZfcfkzgGQPoKRJc1mhp5fvPz3JB5g22lzRvG3kB4YDgfZ33M/577v8SGxnbr3jMHz6Te\nWM8PeT90e3wHSg7YFidqL1NQZ6iTTIEDgv2D8VN+TEieQHhgOIfKTgcF1j9byRScJnNZhMuU1bm2\npyAiKKJFHVgIRy3bu4z8mnz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C/INoNDV2fqHwOgU1BT43jdbKminYeGIjabFpRAZHunlE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\nJEmAoUCSJFXfAIgvMmCNjWSrAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23615bcd828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "df.plot(y=\"Close\", color=\"Green\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x23612f57860>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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4pYM8G71/iBC1ZsGCBSxYsGDYufXr149KZlrDoAcYBCbHzk8GViT43xE4CDjA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\n/h/ec4855ly9rAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23615ff3390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot.bar(y=\"Volume\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['jupyter_architecture.png',\n",
       " 'jupyter_stocks.ipynb',\n",
       " 'pandas_tutorial_on_stock_price.ipynb',\n",
       " 'pandas_tutorial_on_stock_price.py',\n",
       " 'python_pandas_notebook.ipynb']"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%system ls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/c/Code/py/jupyter\n"
     ]
    }
   ],
   "source": [
    "!pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
